{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# QUANTAXIS 从web获取数据教程"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "核心函数 QA_fetch_get_xxxxxx(数据来源,代码,日期/时间参数...)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 股票数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import QUANTAXIS as QA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 股票列表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>volunit</th>\n",
       "      <th>decimal_point</th>\n",
       "      <th>name</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>sse</th>\n",
       "      <th>sec</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>code</th>\n",
       "      <th>sse</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>000001</th>\n",
       "      <th>sz</th>\n",
       "      <td>000001</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>568.002500</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000002</th>\n",
       "      <th>sz</th>\n",
       "      <td>000002</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>万 科Ａ</td>\n",
       "      <td>23.549999</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000004</th>\n",
       "      <th>sz</th>\n",
       "      <td>000004</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>国农科技</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000005</th>\n",
       "      <th>sz</th>\n",
       "      <td>000005</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>世纪星源</td>\n",
       "      <td>4034.005625</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000006</th>\n",
       "      <th>sz</th>\n",
       "      <td>000006</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深振业Ａ</td>\n",
       "      <td>5.390000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000007</th>\n",
       "      <th>sz</th>\n",
       "      <td>000007</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>全新好</td>\n",
       "      <td>1176.037500</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000008</th>\n",
       "      <th>sz</th>\n",
       "      <td>000008</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>神州高铁</td>\n",
       "      <td>4.220000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000009</th>\n",
       "      <th>sz</th>\n",
       "      <td>000009</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>中国宝安</td>\n",
       "      <td>4.590000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000010</th>\n",
       "      <th>sz</th>\n",
       "      <td>000010</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>美丽生态</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000011</th>\n",
       "      <th>sz</th>\n",
       "      <td>000011</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深物业A</td>\n",
       "      <td>952.012500</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000012</th>\n",
       "      <th>sz</th>\n",
       "      <td>000012</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>南 玻Ａ</td>\n",
       "      <td>4.970000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000014</th>\n",
       "      <th>sz</th>\n",
       "      <td>000014</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>沙河股份</td>\n",
       "      <td>616.005000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000016</th>\n",
       "      <th>sz</th>\n",
       "      <td>000016</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深康佳Ａ</td>\n",
       "      <td>4.080000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000017</th>\n",
       "      <th>sz</th>\n",
       "      <td>000017</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深中华A</td>\n",
       "      <td>7746.009375</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000018</th>\n",
       "      <th>sz</th>\n",
       "      <td>000018</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>神州长城</td>\n",
       "      <td>2818.012500</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000019</th>\n",
       "      <th>sz</th>\n",
       "      <td>000019</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深深宝Ａ</td>\n",
       "      <td>232.025000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000020</th>\n",
       "      <th>sz</th>\n",
       "      <td>000020</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深华发Ａ</td>\n",
       "      <td>968.030000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000021</th>\n",
       "      <th>sz</th>\n",
       "      <td>000021</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深科技</td>\n",
       "      <td>6.140000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000022</th>\n",
       "      <th>sz</th>\n",
       "      <td>000022</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深赤湾Ａ</td>\n",
       "      <td>18.650000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000023</th>\n",
       "      <th>sz</th>\n",
       "      <td>000023</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深天地Ａ</td>\n",
       "      <td>1032.050000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000025</th>\n",
       "      <th>sz</th>\n",
       "      <td>000025</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>特 力Ａ</td>\n",
       "      <td>26.719999</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000026</th>\n",
       "      <th>sz</th>\n",
       "      <td>000026</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>飞亚达Ａ</td>\n",
       "      <td>7.430000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000027</th>\n",
       "      <th>sz</th>\n",
       "      <td>000027</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深圳能源</td>\n",
       "      <td>5.290000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000028</th>\n",
       "      <th>sz</th>\n",
       "      <td>000028</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>国药一致</td>\n",
       "      <td>280.139999</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000029</th>\n",
       "      <th>sz</th>\n",
       "      <td>000029</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深深房Ａ</td>\n",
       "      <td>808.045000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000030</th>\n",
       "      <th>sz</th>\n",
       "      <td>000030</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>富奥股份</td>\n",
       "      <td>4.280000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000031</th>\n",
       "      <th>sz</th>\n",
       "      <td>000031</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>中粮地产</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000032</th>\n",
       "      <th>sz</th>\n",
       "      <td>000032</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深桑达Ａ</td>\n",
       "      <td>7.650000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000034</th>\n",
       "      <th>sz</th>\n",
       "      <td>000034</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>神州数码</td>\n",
       "      <td>1416.000000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000035</th>\n",
       "      <th>sz</th>\n",
       "      <td>000035</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>中国天楹</td>\n",
       "      <td>4.130000</td>\n",
       "      <td>sz</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603936</th>\n",
       "      <th>sh</th>\n",
       "      <td>603936</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>博敏电子</td>\n",
       "      <td>17.770000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603937</th>\n",
       "      <th>sh</th>\n",
       "      <td>603937</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>丽岛新材</td>\n",
       "      <td>1752.037500</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603938</th>\n",
       "      <th>sh</th>\n",
       "      <td>603938</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>三孚股份</td>\n",
       "      <td>25.600000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603939</th>\n",
       "      <th>sh</th>\n",
       "      <td>603939</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>益丰药房</td>\n",
       "      <td>344.060001</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603955</th>\n",
       "      <th>sh</th>\n",
       "      <td>603955</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>大千生态</td>\n",
       "      <td>16.350000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603958</th>\n",
       "      <th>sh</th>\n",
       "      <td>603958</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>哈森股份</td>\n",
       "      <td>200.030000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603959</th>\n",
       "      <th>sh</th>\n",
       "      <td>603959</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>百利科技</td>\n",
       "      <td>17.860001</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603960</th>\n",
       "      <th>sh</th>\n",
       "      <td>603960</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>克来机电</td>\n",
       "      <td>31.230000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603963</th>\n",
       "      <th>sh</th>\n",
       "      <td>603963</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>大理药业</td>\n",
       "      <td>16.530001</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603966</th>\n",
       "      <th>sh</th>\n",
       "      <td>603966</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>法兰泰克</td>\n",
       "      <td>200.040000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603968</th>\n",
       "      <th>sh</th>\n",
       "      <td>603968</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>醋化股份</td>\n",
       "      <td>17.160000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603969</th>\n",
       "      <th>sh</th>\n",
       "      <td>603969</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>银龙股份</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603970</th>\n",
       "      <th>sh</th>\n",
       "      <td>603970</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>中农立华</td>\n",
       "      <td>19.100000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603976</th>\n",
       "      <th>sh</th>\n",
       "      <td>603976</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>正川股份</td>\n",
       "      <td>1640.005000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603977</th>\n",
       "      <th>sh</th>\n",
       "      <td>603977</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>国泰集团</td>\n",
       "      <td>24.057500</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603978</th>\n",
       "      <th>sh</th>\n",
       "      <td>603978</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>深圳新星</td>\n",
       "      <td>24.600000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603979</th>\n",
       "      <th>sh</th>\n",
       "      <td>603979</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>金诚信</td>\n",
       "      <td>216.007500</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603980</th>\n",
       "      <th>sh</th>\n",
       "      <td>603980</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>吉华集团</td>\n",
       "      <td>1304.027500</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603985</th>\n",
       "      <th>sh</th>\n",
       "      <td>603985</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>恒润股份</td>\n",
       "      <td>18.340000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603986</th>\n",
       "      <th>sh</th>\n",
       "      <td>603986</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>兆易创新</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603987</th>\n",
       "      <th>sh</th>\n",
       "      <td>603987</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>康德莱</td>\n",
       "      <td>6.130000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603988</th>\n",
       "      <th>sh</th>\n",
       "      <td>603988</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>中电电机</td>\n",
       "      <td>1368.007500</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603989</th>\n",
       "      <th>sh</th>\n",
       "      <td>603989</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>艾华集团</td>\n",
       "      <td>22.049999</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603990</th>\n",
       "      <th>sh</th>\n",
       "      <td>603990</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>麦迪科技</td>\n",
       "      <td>36.240002</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603991</th>\n",
       "      <th>sh</th>\n",
       "      <td>603991</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>至正股份</td>\n",
       "      <td>18.270000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603993</th>\n",
       "      <th>sh</th>\n",
       "      <td>603993</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>洛阳钼业</td>\n",
       "      <td>4.730000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603996</th>\n",
       "      <th>sh</th>\n",
       "      <td>603996</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>中新科技</td>\n",
       "      <td>72.040000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603997</th>\n",
       "      <th>sh</th>\n",
       "      <td>603997</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>继峰股份</td>\n",
       "      <td>728.057500</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603998</th>\n",
       "      <th>sh</th>\n",
       "      <td>603998</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>方盛制药</td>\n",
       "      <td>6.110000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603999</th>\n",
       "      <th>sh</th>\n",
       "      <td>603999</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>读者传媒</td>\n",
       "      <td>5.580000</td>\n",
       "      <td>sh</td>\n",
       "      <td>stock_cn</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3549 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              code  volunit  decimal_point  name    pre_close sse       sec\n",
       "code   sse                                                                 \n",
       "000001 sz   000001      100              2  平安银行   568.002500  sz  stock_cn\n",
       "000002 sz   000002      100              2  万 科Ａ    23.549999  sz  stock_cn\n",
       "000004 sz   000004      100              2  国农科技    17.400000  sz  stock_cn\n",
       "000005 sz   000005      100              2  世纪星源  4034.005625  sz  stock_cn\n",
       "000006 sz   000006      100              2  深振业Ａ     5.390000  sz  stock_cn\n",
       "000007 sz   000007      100              2   全新好  1176.037500  sz  stock_cn\n",
       "000008 sz   000008      100              2  神州高铁     4.220000  sz  stock_cn\n",
       "000009 sz   000009      100              2  中国宝安     4.590000  sz  stock_cn\n",
       "000010 sz   000010      100              2  美丽生态     4.600000  sz  stock_cn\n",
       "000011 sz   000011      100              2  深物业A   952.012500  sz  stock_cn\n",
       "000012 sz   000012      100              2  南 玻Ａ     4.970000  sz  stock_cn\n",
       "000014 sz   000014      100              2  沙河股份   616.005000  sz  stock_cn\n",
       "000016 sz   000016      100              2  深康佳Ａ     4.080000  sz  stock_cn\n",
       "000017 sz   000017      100              2  深中华A  7746.009375  sz  stock_cn\n",
       "000018 sz   000018      100              2  神州长城  2818.012500  sz  stock_cn\n",
       "000019 sz   000019      100              2  深深宝Ａ   232.025000  sz  stock_cn\n",
       "000020 sz   000020      100              2  深华发Ａ   968.030000  sz  stock_cn\n",
       "000021 sz   000021      100              2   深科技     6.140000  sz  stock_cn\n",
       "000022 sz   000022      100              2  深赤湾Ａ    18.650000  sz  stock_cn\n",
       "000023 sz   000023      100              2  深天地Ａ  1032.050000  sz  stock_cn\n",
       "000025 sz   000025      100              2  特 力Ａ    26.719999  sz  stock_cn\n",
       "000026 sz   000026      100              2  飞亚达Ａ     7.430000  sz  stock_cn\n",
       "000027 sz   000027      100              2  深圳能源     5.290000  sz  stock_cn\n",
       "000028 sz   000028      100              2  国药一致   280.139999  sz  stock_cn\n",
       "000029 sz   000029      100              2  深深房Ａ   808.045000  sz  stock_cn\n",
       "000030 sz   000030      100              2  富奥股份     4.280000  sz  stock_cn\n",
       "000031 sz   000031      100              2  中粮地产     5.700000  sz  stock_cn\n",
       "000032 sz   000032      100              2  深桑达Ａ     7.650000  sz  stock_cn\n",
       "000034 sz   000034      100              2  神州数码  1416.000000  sz  stock_cn\n",
       "000035 sz   000035      100              2  中国天楹     4.130000  sz  stock_cn\n",
       "...            ...      ...            ...   ...          ...  ..       ...\n",
       "603936 sh   603936      100              2  博敏电子    17.770000  sh  stock_cn\n",
       "603937 sh   603937      100              2  丽岛新材  1752.037500  sh  stock_cn\n",
       "603938 sh   603938      100              2  三孚股份    25.600000  sh  stock_cn\n",
       "603939 sh   603939      100              2  益丰药房   344.060001  sh  stock_cn\n",
       "603955 sh   603955      100              2  大千生态    16.350000  sh  stock_cn\n",
       "603958 sh   603958      100              2  哈森股份   200.030000  sh  stock_cn\n",
       "603959 sh   603959      100              2  百利科技    17.860001  sh  stock_cn\n",
       "603960 sh   603960      100              2  克来机电    31.230000  sh  stock_cn\n",
       "603963 sh   603963      100              2  大理药业    16.530001  sh  stock_cn\n",
       "603966 sh   603966      100              2  法兰泰克   200.040000  sh  stock_cn\n",
       "603968 sh   603968      100              2  醋化股份    17.160000  sh  stock_cn\n",
       "603969 sh   603969      100              2  银龙股份     7.000000  sh  stock_cn\n",
       "603970 sh   603970      100              2  中农立华    19.100000  sh  stock_cn\n",
       "603976 sh   603976      100              2  正川股份  1640.005000  sh  stock_cn\n",
       "603977 sh   603977      100              2  国泰集团    24.057500  sh  stock_cn\n",
       "603978 sh   603978      100              2  深圳新星    24.600000  sh  stock_cn\n",
       "603979 sh   603979      100              2   金诚信   216.007500  sh  stock_cn\n",
       "603980 sh   603980      100              2  吉华集团  1304.027500  sh  stock_cn\n",
       "603985 sh   603985      100              2  恒润股份    18.340000  sh  stock_cn\n",
       "603986 sh   603986      100              2  兆易创新   110.000000  sh  stock_cn\n",
       "603987 sh   603987      100              2   康德莱     6.130000  sh  stock_cn\n",
       "603988 sh   603988      100              2  中电电机  1368.007500  sh  stock_cn\n",
       "603989 sh   603989      100              2  艾华集团    22.049999  sh  stock_cn\n",
       "603990 sh   603990      100              2  麦迪科技    36.240002  sh  stock_cn\n",
       "603991 sh   603991      100              2  至正股份    18.270000  sh  stock_cn\n",
       "603993 sh   603993      100              2  洛阳钼业     4.730000  sh  stock_cn\n",
       "603996 sh   603996      100              2  中新科技    72.040000  sh  stock_cn\n",
       "603997 sh   603997      100              2  继峰股份   728.057500  sh  stock_cn\n",
       "603998 sh   603998      100              2  方盛制药     6.110000  sh  stock_cn\n",
       "603999 sh   603999      100              2  读者传媒     5.580000  sh  stock_cn\n",
       "\n",
       "[3549 rows x 7 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QA.QA_fetch_get_stock_list('tdx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.股票日线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>date</th>\n",
       "      <th>code</th>\n",
       "      <th>date_stamp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>9.42</td>\n",
       "      <td>9.15</td>\n",
       "      <td>9.50</td>\n",
       "      <td>9.11</td>\n",
       "      <td>814081.0</td>\n",
       "      <td>759282240.0</td>\n",
       "      <td>2018-08-01</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533053e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-02</th>\n",
       "      <td>9.13</td>\n",
       "      <td>8.94</td>\n",
       "      <td>9.15</td>\n",
       "      <td>8.88</td>\n",
       "      <td>931401.0</td>\n",
       "      <td>839272256.0</td>\n",
       "      <td>2018-08-02</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533139e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-03</th>\n",
       "      <td>8.93</td>\n",
       "      <td>8.91</td>\n",
       "      <td>9.10</td>\n",
       "      <td>8.91</td>\n",
       "      <td>476546.0</td>\n",
       "      <td>428641536.0</td>\n",
       "      <td>2018-08-03</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533226e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-06</th>\n",
       "      <td>8.94</td>\n",
       "      <td>8.94</td>\n",
       "      <td>9.11</td>\n",
       "      <td>8.89</td>\n",
       "      <td>554010.0</td>\n",
       "      <td>497906688.0</td>\n",
       "      <td>2018-08-06</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533485e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-07</th>\n",
       "      <td>8.96</td>\n",
       "      <td>9.17</td>\n",
       "      <td>9.17</td>\n",
       "      <td>8.88</td>\n",
       "      <td>690423.0</td>\n",
       "      <td>624359680.0</td>\n",
       "      <td>2018-08-07</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533571e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-08</th>\n",
       "      <td>9.16</td>\n",
       "      <td>9.05</td>\n",
       "      <td>9.16</td>\n",
       "      <td>9.04</td>\n",
       "      <td>578953.0</td>\n",
       "      <td>527526976.0</td>\n",
       "      <td>2018-08-08</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533658e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-09</th>\n",
       "      <td>9.04</td>\n",
       "      <td>9.29</td>\n",
       "      <td>9.35</td>\n",
       "      <td>9.02</td>\n",
       "      <td>806783.0</td>\n",
       "      <td>746469824.0</td>\n",
       "      <td>2018-08-09</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533744e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-10</th>\n",
       "      <td>9.30</td>\n",
       "      <td>9.23</td>\n",
       "      <td>9.32</td>\n",
       "      <td>9.16</td>\n",
       "      <td>424168.0</td>\n",
       "      <td>391366336.0</td>\n",
       "      <td>2018-08-10</td>\n",
       "      <td>000001</td>\n",
       "      <td>1.533830e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            open  close  high   low       vol       amount        date  \\\n",
       "date                                                                     \n",
       "2018-08-01  9.42   9.15  9.50  9.11  814081.0  759282240.0  2018-08-01   \n",
       "2018-08-02  9.13   8.94  9.15  8.88  931401.0  839272256.0  2018-08-02   \n",
       "2018-08-03  8.93   8.91  9.10  8.91  476546.0  428641536.0  2018-08-03   \n",
       "2018-08-06  8.94   8.94  9.11  8.89  554010.0  497906688.0  2018-08-06   \n",
       "2018-08-07  8.96   9.17  9.17  8.88  690423.0  624359680.0  2018-08-07   \n",
       "2018-08-08  9.16   9.05  9.16  9.04  578953.0  527526976.0  2018-08-08   \n",
       "2018-08-09  9.04   9.29  9.35  9.02  806783.0  746469824.0  2018-08-09   \n",
       "2018-08-10  9.30   9.23  9.32  9.16  424168.0  391366336.0  2018-08-10   \n",
       "\n",
       "              code    date_stamp  \n",
       "date                              \n",
       "2018-08-01  000001  1.533053e+09  \n",
       "2018-08-02  000001  1.533139e+09  \n",
       "2018-08-03  000001  1.533226e+09  \n",
       "2018-08-06  000001  1.533485e+09  \n",
       "2018-08-07  000001  1.533571e+09  \n",
       "2018-08-08  000001  1.533658e+09  \n",
       "2018-08-09  000001  1.533744e+09  \n",
       "2018-08-10  000001  1.533830e+09  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QA.QA_fetch_get_stock_day('tdx','000001','2018-08-01','2018-08-10',if_fq='bfq')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.股票分钟线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>datetime</th>\n",
       "      <th>code</th>\n",
       "      <th>date</th>\n",
       "      <th>date_stamp</th>\n",
       "      <th>time_stamp</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:31:00</th>\n",
       "      <td>10.27</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.26</td>\n",
       "      <td>1.520400e+06</td>\n",
       "      <td>1.561075e+07</td>\n",
       "      <td>2018-08-30 09:31:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:32:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.27</td>\n",
       "      <td>4.093000e+05</td>\n",
       "      <td>4.206112e+06</td>\n",
       "      <td>2018-08-30 09:32:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:33:00</th>\n",
       "      <td>10.27</td>\n",
       "      <td>10.31</td>\n",
       "      <td>10.32</td>\n",
       "      <td>10.26</td>\n",
       "      <td>9.171000e+05</td>\n",
       "      <td>9.434675e+06</td>\n",
       "      <td>2018-08-30 09:33:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:34:00</th>\n",
       "      <td>10.32</td>\n",
       "      <td>10.32</td>\n",
       "      <td>10.35</td>\n",
       "      <td>10.32</td>\n",
       "      <td>1.353300e+06</td>\n",
       "      <td>1.398551e+07</td>\n",
       "      <td>2018-08-30 09:34:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:35:00</th>\n",
       "      <td>10.33</td>\n",
       "      <td>10.32</td>\n",
       "      <td>10.33</td>\n",
       "      <td>10.30</td>\n",
       "      <td>1.455900e+06</td>\n",
       "      <td>1.502392e+07</td>\n",
       "      <td>2018-08-30 09:35:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:36:00</th>\n",
       "      <td>10.32</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.32</td>\n",
       "      <td>10.30</td>\n",
       "      <td>6.024000e+05</td>\n",
       "      <td>6.209240e+06</td>\n",
       "      <td>2018-08-30 09:36:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:37:00</th>\n",
       "      <td>10.30</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.32</td>\n",
       "      <td>10.29</td>\n",
       "      <td>1.106300e+06</td>\n",
       "      <td>1.140471e+07</td>\n",
       "      <td>2018-08-30 09:37:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:38:00</th>\n",
       "      <td>10.32</td>\n",
       "      <td>10.31</td>\n",
       "      <td>10.32</td>\n",
       "      <td>10.29</td>\n",
       "      <td>1.277900e+06</td>\n",
       "      <td>1.317305e+07</td>\n",
       "      <td>2018-08-30 09:38:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:39:00</th>\n",
       "      <td>10.30</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.31</td>\n",
       "      <td>10.28</td>\n",
       "      <td>6.833000e+05</td>\n",
       "      <td>7.029922e+06</td>\n",
       "      <td>2018-08-30 09:39:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:40:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.27</td>\n",
       "      <td>3.393000e+05</td>\n",
       "      <td>3.487379e+06</td>\n",
       "      <td>2018-08-30 09:40:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:41:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.28</td>\n",
       "      <td>6.424000e+05</td>\n",
       "      <td>6.612979e+06</td>\n",
       "      <td>2018-08-30 09:41:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:42:00</th>\n",
       "      <td>10.29</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.25</td>\n",
       "      <td>1.572800e+06</td>\n",
       "      <td>1.615962e+07</td>\n",
       "      <td>2018-08-30 09:42:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:43:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>10.24</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.23</td>\n",
       "      <td>6.001000e+05</td>\n",
       "      <td>6.147694e+06</td>\n",
       "      <td>2018-08-30 09:43:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:44:00</th>\n",
       "      <td>10.24</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.24</td>\n",
       "      <td>3.600000e+05</td>\n",
       "      <td>3.691396e+06</td>\n",
       "      <td>2018-08-30 09:44:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535593e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:45:00</th>\n",
       "      <td>10.27</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.25</td>\n",
       "      <td>5.416000e+05</td>\n",
       "      <td>5.562000e+06</td>\n",
       "      <td>2018-08-30 09:45:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:46:00</th>\n",
       "      <td>10.27</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.25</td>\n",
       "      <td>5.724000e+05</td>\n",
       "      <td>5.873743e+06</td>\n",
       "      <td>2018-08-30 09:46:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:47:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.26</td>\n",
       "      <td>3.851000e+05</td>\n",
       "      <td>3.952037e+06</td>\n",
       "      <td>2018-08-30 09:47:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:48:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>10.25</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.25</td>\n",
       "      <td>2.390000e+05</td>\n",
       "      <td>2.450591e+06</td>\n",
       "      <td>2018-08-30 09:48:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:49:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>10.25</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.24</td>\n",
       "      <td>3.537000e+05</td>\n",
       "      <td>3.624099e+06</td>\n",
       "      <td>2018-08-30 09:49:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:50:00</th>\n",
       "      <td>10.25</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.25</td>\n",
       "      <td>3.539000e+05</td>\n",
       "      <td>3.630670e+06</td>\n",
       "      <td>2018-08-30 09:50:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:51:00</th>\n",
       "      <td>10.27</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.26</td>\n",
       "      <td>5.035000e+05</td>\n",
       "      <td>5.167826e+06</td>\n",
       "      <td>2018-08-30 09:51:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:52:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.26</td>\n",
       "      <td>2.082000e+05</td>\n",
       "      <td>2.137288e+06</td>\n",
       "      <td>2018-08-30 09:52:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:53:00</th>\n",
       "      <td>10.27</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.26</td>\n",
       "      <td>2.081000e+05</td>\n",
       "      <td>2.135633e+06</td>\n",
       "      <td>2018-08-30 09:53:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:54:00</th>\n",
       "      <td>10.27</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.25</td>\n",
       "      <td>6.685000e+05</td>\n",
       "      <td>6.860688e+06</td>\n",
       "      <td>2018-08-30 09:54:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:55:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.28</td>\n",
       "      <td>1.643500e+06</td>\n",
       "      <td>1.690261e+07</td>\n",
       "      <td>2018-08-30 09:55:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:56:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.28</td>\n",
       "      <td>4.638000e+05</td>\n",
       "      <td>4.769580e+06</td>\n",
       "      <td>2018-08-30 09:56:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:57:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.26</td>\n",
       "      <td>7.922000e+05</td>\n",
       "      <td>8.136606e+06</td>\n",
       "      <td>2018-08-30 09:57:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:58:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.27</td>\n",
       "      <td>2.733000e+05</td>\n",
       "      <td>2.810572e+06</td>\n",
       "      <td>2018-08-30 09:58:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 09:59:00</th>\n",
       "      <td>10.29</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.27</td>\n",
       "      <td>2.565000e+05</td>\n",
       "      <td>2.634971e+06</td>\n",
       "      <td>2018-08-30 09:59:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30 10:00:00</th>\n",
       "      <td>10.28</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.28</td>\n",
       "      <td>10.27</td>\n",
       "      <td>7.560000e+04</td>\n",
       "      <td>7.769481e+05</td>\n",
       "      <td>2018-08-30 10:00:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-30</td>\n",
       "      <td>1.535558e+09</td>\n",
       "      <td>1.535594e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:31:00</th>\n",
       "      <td>10.23</td>\n",
       "      <td>10.21</td>\n",
       "      <td>10.23</td>\n",
       "      <td>10.21</td>\n",
       "      <td>5.420000e+05</td>\n",
       "      <td>5.540769e+06</td>\n",
       "      <td>2018-08-31 14:31:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:32:00</th>\n",
       "      <td>10.21</td>\n",
       "      <td>10.21</td>\n",
       "      <td>10.22</td>\n",
       "      <td>10.20</td>\n",
       "      <td>5.452000e+05</td>\n",
       "      <td>5.566198e+06</td>\n",
       "      <td>2018-08-31 14:32:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:33:00</th>\n",
       "      <td>10.21</td>\n",
       "      <td>10.18</td>\n",
       "      <td>10.21</td>\n",
       "      <td>10.18</td>\n",
       "      <td>3.402900e+06</td>\n",
       "      <td>3.470408e+07</td>\n",
       "      <td>2018-08-31 14:33:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:34:00</th>\n",
       "      <td>10.18</td>\n",
       "      <td>10.19</td>\n",
       "      <td>10.19</td>\n",
       "      <td>10.17</td>\n",
       "      <td>5.893000e+05</td>\n",
       "      <td>5.998046e+06</td>\n",
       "      <td>2018-08-31 14:34:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:35:00</th>\n",
       "      <td>10.19</td>\n",
       "      <td>10.17</td>\n",
       "      <td>10.19</td>\n",
       "      <td>10.17</td>\n",
       "      <td>3.859000e+05</td>\n",
       "      <td>3.926942e+06</td>\n",
       "      <td>2018-08-31 14:35:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:36:00</th>\n",
       "      <td>10.17</td>\n",
       "      <td>10.17</td>\n",
       "      <td>10.18</td>\n",
       "      <td>10.17</td>\n",
       "      <td>3.799000e+05</td>\n",
       "      <td>3.865206e+06</td>\n",
       "      <td>2018-08-31 14:36:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:37:00</th>\n",
       "      <td>10.17</td>\n",
       "      <td>10.17</td>\n",
       "      <td>10.18</td>\n",
       "      <td>10.17</td>\n",
       "      <td>4.144000e+05</td>\n",
       "      <td>4.216120e+06</td>\n",
       "      <td>2018-08-31 14:37:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:38:00</th>\n",
       "      <td>10.18</td>\n",
       "      <td>10.17</td>\n",
       "      <td>10.18</td>\n",
       "      <td>10.17</td>\n",
       "      <td>4.573000e+05</td>\n",
       "      <td>4.652082e+06</td>\n",
       "      <td>2018-08-31 14:38:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535697e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:39:00</th>\n",
       "      <td>10.17</td>\n",
       "      <td>10.17</td>\n",
       "      <td>10.18</td>\n",
       "      <td>10.17</td>\n",
       "      <td>5.445000e+05</td>\n",
       "      <td>5.538968e+06</td>\n",
       "      <td>2018-08-31 14:39:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:40:00</th>\n",
       "      <td>10.17</td>\n",
       "      <td>10.15</td>\n",
       "      <td>10.17</td>\n",
       "      <td>10.15</td>\n",
       "      <td>9.291000e+05</td>\n",
       "      <td>9.436313e+06</td>\n",
       "      <td>2018-08-31 14:40:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:41:00</th>\n",
       "      <td>10.15</td>\n",
       "      <td>10.15</td>\n",
       "      <td>10.16</td>\n",
       "      <td>10.14</td>\n",
       "      <td>5.109000e+05</td>\n",
       "      <td>5.185022e+06</td>\n",
       "      <td>2018-08-31 14:41:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:42:00</th>\n",
       "      <td>10.15</td>\n",
       "      <td>10.15</td>\n",
       "      <td>10.16</td>\n",
       "      <td>10.14</td>\n",
       "      <td>9.724000e+05</td>\n",
       "      <td>9.871421e+06</td>\n",
       "      <td>2018-08-31 14:42:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:43:00</th>\n",
       "      <td>10.16</td>\n",
       "      <td>10.16</td>\n",
       "      <td>10.16</td>\n",
       "      <td>10.15</td>\n",
       "      <td>4.648000e+05</td>\n",
       "      <td>4.720947e+06</td>\n",
       "      <td>2018-08-31 14:43:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:44:00</th>\n",
       "      <td>10.16</td>\n",
       "      <td>10.16</td>\n",
       "      <td>10.16</td>\n",
       "      <td>10.15</td>\n",
       "      <td>3.173000e+05</td>\n",
       "      <td>3.222478e+06</td>\n",
       "      <td>2018-08-31 14:44:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:45:00</th>\n",
       "      <td>10.16</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.16</td>\n",
       "      <td>10.13</td>\n",
       "      <td>8.743000e+05</td>\n",
       "      <td>8.869773e+06</td>\n",
       "      <td>2018-08-31 14:45:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:46:00</th>\n",
       "      <td>10.14</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.14</td>\n",
       "      <td>10.12</td>\n",
       "      <td>1.389800e+06</td>\n",
       "      <td>1.408035e+07</td>\n",
       "      <td>2018-08-31 14:46:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:47:00</th>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.12</td>\n",
       "      <td>7.476000e+05</td>\n",
       "      <td>7.568508e+06</td>\n",
       "      <td>2018-08-31 14:47:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:48:00</th>\n",
       "      <td>10.13</td>\n",
       "      <td>10.14</td>\n",
       "      <td>10.14</td>\n",
       "      <td>10.12</td>\n",
       "      <td>9.508000e+05</td>\n",
       "      <td>9.631708e+06</td>\n",
       "      <td>2018-08-31 14:48:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:49:00</th>\n",
       "      <td>10.14</td>\n",
       "      <td>10.14</td>\n",
       "      <td>10.15</td>\n",
       "      <td>10.13</td>\n",
       "      <td>5.561000e+05</td>\n",
       "      <td>5.636948e+06</td>\n",
       "      <td>2018-08-31 14:49:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:50:00</th>\n",
       "      <td>10.14</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.15</td>\n",
       "      <td>10.13</td>\n",
       "      <td>8.168000e+05</td>\n",
       "      <td>8.277500e+06</td>\n",
       "      <td>2018-08-31 14:50:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:51:00</th>\n",
       "      <td>10.13</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.12</td>\n",
       "      <td>1.186200e+06</td>\n",
       "      <td>1.201001e+07</td>\n",
       "      <td>2018-08-31 14:51:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:52:00</th>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.14</td>\n",
       "      <td>10.13</td>\n",
       "      <td>8.083000e+05</td>\n",
       "      <td>8.189148e+06</td>\n",
       "      <td>2018-08-31 14:52:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:53:00</th>\n",
       "      <td>10.12</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.11</td>\n",
       "      <td>1.092700e+06</td>\n",
       "      <td>1.106054e+07</td>\n",
       "      <td>2018-08-31 14:53:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:54:00</th>\n",
       "      <td>10.12</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.11</td>\n",
       "      <td>5.244000e+05</td>\n",
       "      <td>5.305932e+06</td>\n",
       "      <td>2018-08-31 14:54:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:55:00</th>\n",
       "      <td>10.12</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.11</td>\n",
       "      <td>1.378700e+06</td>\n",
       "      <td>1.394839e+07</td>\n",
       "      <td>2018-08-31 14:55:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535698e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:56:00</th>\n",
       "      <td>10.12</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.11</td>\n",
       "      <td>1.495000e+06</td>\n",
       "      <td>1.513084e+07</td>\n",
       "      <td>2018-08-31 14:56:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535699e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:57:00</th>\n",
       "      <td>10.12</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.14</td>\n",
       "      <td>10.12</td>\n",
       "      <td>6.083000e+05</td>\n",
       "      <td>6.157596e+06</td>\n",
       "      <td>2018-08-31 14:57:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535699e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:58:00</th>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>9.500000e+03</td>\n",
       "      <td>9.623501e+04</td>\n",
       "      <td>2018-08-31 14:58:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535699e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 14:59:00</th>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>5.877472e-39</td>\n",
       "      <td>5.877472e-39</td>\n",
       "      <td>2018-08-31 14:59:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535699e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31 15:00:00</th>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.13</td>\n",
       "      <td>3.236600e+06</td>\n",
       "      <td>3.278676e+07</td>\n",
       "      <td>2018-08-31 15:00:00</td>\n",
       "      <td>000001</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>1.535645e+09</td>\n",
       "      <td>1.535699e+09</td>\n",
       "      <td>1min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>480 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      open  close   high    low           vol        amount  \\\n",
       "datetime                                                                      \n",
       "2018-08-30 09:31:00  10.27  10.28  10.28  10.26  1.520400e+06  1.561075e+07   \n",
       "2018-08-30 09:32:00  10.28  10.27  10.29  10.27  4.093000e+05  4.206112e+06   \n",
       "2018-08-30 09:33:00  10.27  10.31  10.32  10.26  9.171000e+05  9.434675e+06   \n",
       "2018-08-30 09:34:00  10.32  10.32  10.35  10.32  1.353300e+06  1.398551e+07   \n",
       "2018-08-30 09:35:00  10.33  10.32  10.33  10.30  1.455900e+06  1.502392e+07   \n",
       "2018-08-30 09:36:00  10.32  10.30  10.32  10.30  6.024000e+05  6.209240e+06   \n",
       "2018-08-30 09:37:00  10.30  10.30  10.32  10.29  1.106300e+06  1.140471e+07   \n",
       "2018-08-30 09:38:00  10.32  10.31  10.32  10.29  1.277900e+06  1.317305e+07   \n",
       "2018-08-30 09:39:00  10.30  10.28  10.31  10.28  6.833000e+05  7.029922e+06   \n",
       "2018-08-30 09:40:00  10.28  10.28  10.29  10.27  3.393000e+05  3.487379e+06   \n",
       "2018-08-30 09:41:00  10.28  10.30  10.30  10.28  6.424000e+05  6.612979e+06   \n",
       "2018-08-30 09:42:00  10.29  10.26  10.29  10.25  1.572800e+06  1.615962e+07   \n",
       "2018-08-30 09:43:00  10.26  10.24  10.26  10.23  6.001000e+05  6.147694e+06   \n",
       "2018-08-30 09:44:00  10.24  10.26  10.27  10.24  3.600000e+05  3.691396e+06   \n",
       "2018-08-30 09:45:00  10.27  10.27  10.28  10.25  5.416000e+05  5.562000e+06   \n",
       "2018-08-30 09:46:00  10.27  10.26  10.27  10.25  5.724000e+05  5.873743e+06   \n",
       "2018-08-30 09:47:00  10.26  10.26  10.27  10.26  3.851000e+05  3.952037e+06   \n",
       "2018-08-30 09:48:00  10.26  10.25  10.26  10.25  2.390000e+05  2.450591e+06   \n",
       "2018-08-30 09:49:00  10.26  10.25  10.26  10.24  3.537000e+05  3.624099e+06   \n",
       "2018-08-30 09:50:00  10.25  10.26  10.27  10.25  3.539000e+05  3.630670e+06   \n",
       "2018-08-30 09:51:00  10.27  10.27  10.27  10.26  5.035000e+05  5.167826e+06   \n",
       "2018-08-30 09:52:00  10.26  10.26  10.27  10.26  2.082000e+05  2.137288e+06   \n",
       "2018-08-30 09:53:00  10.27  10.26  10.27  10.26  2.081000e+05  2.135633e+06   \n",
       "2018-08-30 09:54:00  10.27  10.27  10.27  10.25  6.685000e+05  6.860688e+06   \n",
       "2018-08-30 09:55:00  10.28  10.28  10.30  10.28  1.643500e+06  1.690261e+07   \n",
       "2018-08-30 09:56:00  10.28  10.28  10.29  10.28  4.638000e+05  4.769580e+06   \n",
       "2018-08-30 09:57:00  10.28  10.27  10.28  10.26  7.922000e+05  8.136606e+06   \n",
       "2018-08-30 09:58:00  10.28  10.29  10.29  10.27  2.733000e+05  2.810572e+06   \n",
       "2018-08-30 09:59:00  10.29  10.27  10.29  10.27  2.565000e+05  2.634971e+06   \n",
       "2018-08-30 10:00:00  10.28  10.27  10.28  10.27  7.560000e+04  7.769481e+05   \n",
       "...                    ...    ...    ...    ...           ...           ...   \n",
       "2018-08-31 14:31:00  10.23  10.21  10.23  10.21  5.420000e+05  5.540769e+06   \n",
       "2018-08-31 14:32:00  10.21  10.21  10.22  10.20  5.452000e+05  5.566198e+06   \n",
       "2018-08-31 14:33:00  10.21  10.18  10.21  10.18  3.402900e+06  3.470408e+07   \n",
       "2018-08-31 14:34:00  10.18  10.19  10.19  10.17  5.893000e+05  5.998046e+06   \n",
       "2018-08-31 14:35:00  10.19  10.17  10.19  10.17  3.859000e+05  3.926942e+06   \n",
       "2018-08-31 14:36:00  10.17  10.17  10.18  10.17  3.799000e+05  3.865206e+06   \n",
       "2018-08-31 14:37:00  10.17  10.17  10.18  10.17  4.144000e+05  4.216120e+06   \n",
       "2018-08-31 14:38:00  10.18  10.17  10.18  10.17  4.573000e+05  4.652082e+06   \n",
       "2018-08-31 14:39:00  10.17  10.17  10.18  10.17  5.445000e+05  5.538968e+06   \n",
       "2018-08-31 14:40:00  10.17  10.15  10.17  10.15  9.291000e+05  9.436313e+06   \n",
       "2018-08-31 14:41:00  10.15  10.15  10.16  10.14  5.109000e+05  5.185022e+06   \n",
       "2018-08-31 14:42:00  10.15  10.15  10.16  10.14  9.724000e+05  9.871421e+06   \n",
       "2018-08-31 14:43:00  10.16  10.16  10.16  10.15  4.648000e+05  4.720947e+06   \n",
       "2018-08-31 14:44:00  10.16  10.16  10.16  10.15  3.173000e+05  3.222478e+06   \n",
       "2018-08-31 14:45:00  10.16  10.13  10.16  10.13  8.743000e+05  8.869773e+06   \n",
       "2018-08-31 14:46:00  10.14  10.13  10.14  10.12  1.389800e+06  1.408035e+07   \n",
       "2018-08-31 14:47:00  10.13  10.13  10.13  10.12  7.476000e+05  7.568508e+06   \n",
       "2018-08-31 14:48:00  10.13  10.14  10.14  10.12  9.508000e+05  9.631708e+06   \n",
       "2018-08-31 14:49:00  10.14  10.14  10.15  10.13  5.561000e+05  5.636948e+06   \n",
       "2018-08-31 14:50:00  10.14  10.13  10.15  10.13  8.168000e+05  8.277500e+06   \n",
       "2018-08-31 14:51:00  10.13  10.12  10.13  10.12  1.186200e+06  1.201001e+07   \n",
       "2018-08-31 14:52:00  10.13  10.13  10.14  10.13  8.083000e+05  8.189148e+06   \n",
       "2018-08-31 14:53:00  10.12  10.12  10.13  10.11  1.092700e+06  1.106054e+07   \n",
       "2018-08-31 14:54:00  10.12  10.12  10.12  10.11  5.244000e+05  5.305932e+06   \n",
       "2018-08-31 14:55:00  10.12  10.13  10.13  10.11  1.378700e+06  1.394839e+07   \n",
       "2018-08-31 14:56:00  10.12  10.12  10.13  10.11  1.495000e+06  1.513084e+07   \n",
       "2018-08-31 14:57:00  10.12  10.12  10.14  10.12  6.083000e+05  6.157596e+06   \n",
       "2018-08-31 14:58:00  10.13  10.13  10.13  10.13  9.500000e+03  9.623501e+04   \n",
       "2018-08-31 14:59:00  10.13  10.13  10.13  10.13  5.877472e-39  5.877472e-39   \n",
       "2018-08-31 15:00:00  10.13  10.13  10.13  10.13  3.236600e+06  3.278676e+07   \n",
       "\n",
       "                                datetime    code        date    date_stamp  \\\n",
       "datetime                                                                     \n",
       "2018-08-30 09:31:00  2018-08-30 09:31:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:32:00  2018-08-30 09:32:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:33:00  2018-08-30 09:33:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:34:00  2018-08-30 09:34:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:35:00  2018-08-30 09:35:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:36:00  2018-08-30 09:36:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:37:00  2018-08-30 09:37:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:38:00  2018-08-30 09:38:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:39:00  2018-08-30 09:39:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:40:00  2018-08-30 09:40:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:41:00  2018-08-30 09:41:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:42:00  2018-08-30 09:42:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:43:00  2018-08-30 09:43:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:44:00  2018-08-30 09:44:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:45:00  2018-08-30 09:45:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:46:00  2018-08-30 09:46:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:47:00  2018-08-30 09:47:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:48:00  2018-08-30 09:48:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:49:00  2018-08-30 09:49:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:50:00  2018-08-30 09:50:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:51:00  2018-08-30 09:51:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:52:00  2018-08-30 09:52:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:53:00  2018-08-30 09:53:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:54:00  2018-08-30 09:54:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:55:00  2018-08-30 09:55:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:56:00  2018-08-30 09:56:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:57:00  2018-08-30 09:57:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:58:00  2018-08-30 09:58:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 09:59:00  2018-08-30 09:59:00  000001  2018-08-30  1.535558e+09   \n",
       "2018-08-30 10:00:00  2018-08-30 10:00:00  000001  2018-08-30  1.535558e+09   \n",
       "...                                  ...     ...         ...           ...   \n",
       "2018-08-31 14:31:00  2018-08-31 14:31:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:32:00  2018-08-31 14:32:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:33:00  2018-08-31 14:33:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:34:00  2018-08-31 14:34:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:35:00  2018-08-31 14:35:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:36:00  2018-08-31 14:36:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:37:00  2018-08-31 14:37:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:38:00  2018-08-31 14:38:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:39:00  2018-08-31 14:39:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:40:00  2018-08-31 14:40:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:41:00  2018-08-31 14:41:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:42:00  2018-08-31 14:42:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:43:00  2018-08-31 14:43:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:44:00  2018-08-31 14:44:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:45:00  2018-08-31 14:45:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:46:00  2018-08-31 14:46:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:47:00  2018-08-31 14:47:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:48:00  2018-08-31 14:48:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:49:00  2018-08-31 14:49:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:50:00  2018-08-31 14:50:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:51:00  2018-08-31 14:51:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:52:00  2018-08-31 14:52:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:53:00  2018-08-31 14:53:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:54:00  2018-08-31 14:54:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:55:00  2018-08-31 14:55:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:56:00  2018-08-31 14:56:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:57:00  2018-08-31 14:57:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:58:00  2018-08-31 14:58:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 14:59:00  2018-08-31 14:59:00  000001  2018-08-31  1.535645e+09   \n",
       "2018-08-31 15:00:00  2018-08-31 15:00:00  000001  2018-08-31  1.535645e+09   \n",
       "\n",
       "                       time_stamp  type  \n",
       "datetime                                 \n",
       "2018-08-30 09:31:00  1.535593e+09  1min  \n",
       "2018-08-30 09:32:00  1.535593e+09  1min  \n",
       "2018-08-30 09:33:00  1.535593e+09  1min  \n",
       "2018-08-30 09:34:00  1.535593e+09  1min  \n",
       "2018-08-30 09:35:00  1.535593e+09  1min  \n",
       "2018-08-30 09:36:00  1.535593e+09  1min  \n",
       "2018-08-30 09:37:00  1.535593e+09  1min  \n",
       "2018-08-30 09:38:00  1.535593e+09  1min  \n",
       "2018-08-30 09:39:00  1.535593e+09  1min  \n",
       "2018-08-30 09:40:00  1.535593e+09  1min  \n",
       "2018-08-30 09:41:00  1.535593e+09  1min  \n",
       "2018-08-30 09:42:00  1.535593e+09  1min  \n",
       "2018-08-30 09:43:00  1.535593e+09  1min  \n",
       "2018-08-30 09:44:00  1.535593e+09  1min  \n",
       "2018-08-30 09:45:00  1.535594e+09  1min  \n",
       "2018-08-30 09:46:00  1.535594e+09  1min  \n",
       "2018-08-30 09:47:00  1.535594e+09  1min  \n",
       "2018-08-30 09:48:00  1.535594e+09  1min  \n",
       "2018-08-30 09:49:00  1.535594e+09  1min  \n",
       "2018-08-30 09:50:00  1.535594e+09  1min  \n",
       "2018-08-30 09:51:00  1.535594e+09  1min  \n",
       "2018-08-30 09:52:00  1.535594e+09  1min  \n",
       "2018-08-30 09:53:00  1.535594e+09  1min  \n",
       "2018-08-30 09:54:00  1.535594e+09  1min  \n",
       "2018-08-30 09:55:00  1.535594e+09  1min  \n",
       "2018-08-30 09:56:00  1.535594e+09  1min  \n",
       "2018-08-30 09:57:00  1.535594e+09  1min  \n",
       "2018-08-30 09:58:00  1.535594e+09  1min  \n",
       "2018-08-30 09:59:00  1.535594e+09  1min  \n",
       "2018-08-30 10:00:00  1.535594e+09  1min  \n",
       "...                           ...   ...  \n",
       "2018-08-31 14:31:00  1.535697e+09  1min  \n",
       "2018-08-31 14:32:00  1.535697e+09  1min  \n",
       "2018-08-31 14:33:00  1.535697e+09  1min  \n",
       "2018-08-31 14:34:00  1.535697e+09  1min  \n",
       "2018-08-31 14:35:00  1.535697e+09  1min  \n",
       "2018-08-31 14:36:00  1.535697e+09  1min  \n",
       "2018-08-31 14:37:00  1.535697e+09  1min  \n",
       "2018-08-31 14:38:00  1.535697e+09  1min  \n",
       "2018-08-31 14:39:00  1.535698e+09  1min  \n",
       "2018-08-31 14:40:00  1.535698e+09  1min  \n",
       "2018-08-31 14:41:00  1.535698e+09  1min  \n",
       "2018-08-31 14:42:00  1.535698e+09  1min  \n",
       "2018-08-31 14:43:00  1.535698e+09  1min  \n",
       "2018-08-31 14:44:00  1.535698e+09  1min  \n",
       "2018-08-31 14:45:00  1.535698e+09  1min  \n",
       "2018-08-31 14:46:00  1.535698e+09  1min  \n",
       "2018-08-31 14:47:00  1.535698e+09  1min  \n",
       "2018-08-31 14:48:00  1.535698e+09  1min  \n",
       "2018-08-31 14:49:00  1.535698e+09  1min  \n",
       "2018-08-31 14:50:00  1.535698e+09  1min  \n",
       "2018-08-31 14:51:00  1.535698e+09  1min  \n",
       "2018-08-31 14:52:00  1.535698e+09  1min  \n",
       "2018-08-31 14:53:00  1.535698e+09  1min  \n",
       "2018-08-31 14:54:00  1.535698e+09  1min  \n",
       "2018-08-31 14:55:00  1.535698e+09  1min  \n",
       "2018-08-31 14:56:00  1.535699e+09  1min  \n",
       "2018-08-31 14:57:00  1.535699e+09  1min  \n",
       "2018-08-31 14:58:00  1.535699e+09  1min  \n",
       "2018-08-31 14:59:00  1.535699e+09  1min  \n",
       "2018-08-31 15:00:00  1.535699e+09  1min  \n",
       "\n",
       "[480 rows x 12 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QA.QA_fetch_get_stock_min('tdx','000001','2018-08-30 09:30:00','2018-08-31 15:00:00')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. 股票分笔数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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